Suoritettu

machine learning

network intrusion detection

on nslkdd dataset (anomaly detection )

by using Lstm svm,random forest , auto encoder, xtreme gradient booster

i want to test

Train+/test+

Train 20 / test+

Train+/test21

Train20/test21

2 more splits after combining

 

TABLES

1. MEAN AVERAGE PRECISION

2 ACCURACY

3 PRECISION

4 RECALL

5 F1 SCORE

6 MEAN AVERAGE PRECISION RESULTS FROM IMPLIMENTED CLSSIFIER

GRAPH

1. TRAINING TIME IN SECONDS FOR DIFFERENT ALGO IN SECONDS FOR TRAIN +

2. TESTING TIME FOR NSL KDD TEST +AND TEST 21

3. COMPARISION OF PRECISION RECALL CURVE AND maP (MEAN AVERAGE PRECISION)SCORES OF EACH CLASSIFIER FOR TEST 21 DATASET AND

4. SAME FOR (AS IN 3)FOR TEST+DATASET

5 RECIEVER OPERATING CHARACT

ERSTICS (ROC)

6 GRAPH FOR ACCURACY

Taidot: Machine Learning (ML)

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Projektin tunnus: #27467355

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